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Cartography Active Learning

Cartography Active Learning

9 September 2021
Mike Zhang
Barbara Plank
ArXivPDFHTML

Papers citing "Cartography Active Learning"

27 / 27 papers shown
Title
DragEntity: Trajectory Guided Video Generation using Entity and
  Positional Relationships
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships
Zhang Wan
Sheng Tang
Jiawei Wei
Ruize Zhang
Juan Cao
VGen
19
2
0
14 Oct 2024
ALVIN: Active Learning Via INterpolation
ALVIN: Active Learning Via INterpolation
Michalis Korakakis
Andreas Vlachos
Adrian Weller
28
0
0
11 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Yuxin Xiao
Shujian Zhang
Wenxuan Zhou
Marzyeh Ghassemi
Sanqiang Zhao
109
0
0
07 Oct 2024
Self-Training for Sample-Efficient Active Learning for Text
  Classification with Pre-Trained Language Models
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
44
0
0
13 Jun 2024
Empowering Language Models with Active Inquiry for Deeper Understanding
Empowering Language Models with Active Inquiry for Deeper Understanding
Jing-Cheng Pang
Heng-Bo Fan
Pengyuan Wang
Jia-Hao Xiao
Nan Tang
Si-Hang Yang
Chengxing Jia
Sheng-Jun Huang
Yang Yu
21
5
0
06 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot
  Learning
Automatic Combination of Sample Selection Strategies for Few-Shot Learning
Branislav Pecher
Ivan Srba
M. Bieliková
Joaquin Vanschoren
34
1
0
05 Feb 2024
ACTOR: Active Learning with Annotator-specific Classification Heads to
  Embrace Human Label Variation
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
Xinpeng Wang
Barbara Plank
13
6
0
23 Oct 2023
Anchor Points: Benchmarking Models with Much Fewer Examples
Anchor Points: Benchmarking Models with Much Fewer Examples
Rajan Vivek
Kawin Ethayarajh
Diyi Yang
Douwe Kiela
ALM
29
22
0
14 Sep 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
31
11
0
21 May 2023
Transfer and Active Learning for Dissonance Detection: Addressing the
  Rare-Class Challenge
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan
Swanie Juhng
Syeda Mahwish
Xiaoran Liu
Jonah Luby
C. Luhmann
H. A. Schwartz
33
3
0
03 May 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
24
7
0
14 Feb 2023
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
34
27
0
23 Jan 2023
Active Learning for Abstractive Text Summarization
Active Learning for Abstractive Text Summarization
Akim Tsvigun
Ivan Lysenko
Danila Sedashov
Ivan Lazichny
Eldar Damirov
...
Leonid Sanochkin
Maxim Panov
Alexander Panchenko
Mikhail Burtsev
Artem Shelmanov
21
11
0
09 Jan 2023
An Efficient Active Learning Pipeline for Legal Text Classification
An Efficient Active Learning Pipeline for Legal Text Classification
Sepideh Mamooler
R. Lebret
Stéphane Massonnet
Karl Aberer
AILaw
27
4
0
15 Nov 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
97
0
04 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
32
1
0
28 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
34
13
0
13 Oct 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
53
21
0
15 Sep 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
27
26
0
10 May 2022
Experimental Standards for Deep Learning in Natural Language Processing
  Research
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer
Elisa Bassignana
Max Müller-Eberstein
Daniel Varab
Mike Zhang
Rob van der Goot
Christian Hardmeier
Barbara Plank
19
10
0
13 Apr 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a
  Language-Model-as-a-Service Framework
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao
Fei Mi
Yasheng Wang
Minglei Li
Xin Jiang
Qun Liu
Hinrich Schütze
RALM
40
11
0
14 Dec 2021
Multi-View Active Learning for Short Text Classification in
  User-Generated Data
Multi-View Active Learning for Short Text Classification in User-Generated Data
Payam Karisani
Negin Karisani
Li Xiong
VLM
15
4
0
05 Dec 2021
Active learning for reducing labeling effort in text classification
  tasks
Active learning for reducing labeling effort in text classification tasks
Peter Jacobs
Gideon Maillette de Buy Wenniger
M. Wiering
Lambert Schomaker
VLM
40
12
0
10 Sep 2021
Revisiting Uncertainty-based Query Strategies for Active Learning with
  Transformers
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder
A. Niekler
Martin Potthast
19
78
0
12 Jul 2021
On the Importance of Effectively Adapting Pretrained Language Models for
  Active Learning
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
Katerina Margatina
Loïc Barrault
Nikolaos Aletras
24
36
0
16 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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